Augmented EMTCNN: A Fast and Accurate Facial Landmark Detection Network
Facial landmarks represent prominent feature points on the face that can be used as anchor points in many face-related tasks. So far, a lot of research has been done with the aim of achieving efficient extraction of landmarks from facial images. Employing a large number of feature points for landmar...
Main Authors: | Hyeon-Woo Kim, Hyung-Joon Kim, Seungmin Rho, Eenjun Hwang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/10/7/2253 |
Similar Items
-
Robust facial landmark detection and tracking across poses and expressions for in-the-wild monocular video
by: Shuang Liu, et al.
Published: (2017-03-01) -
FLSNet: Robust Facial Landmark Semantic Segmentation
by: Hyungjoon Kim, et al.
Published: (2020-01-01) -
A novel investigation of the effect of iterations in sliding semi-landmarks for 3D human facial images
by: Azree Nazri, et al.
Published: (2020-05-01) -
Efficient Facial Landmark Localization Based on Binarized Neural Networks
by: Hanlin Chen, et al.
Published: (2020-07-01) -
Evaluation of facial nerve and its landmarks in adult temporal bones
by: Saeid Soheilipour, et al.
Published: (2010-06-01)